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Design and Implementation of Social Search System using user Context and Tag  

Yoon, Tae Hyun (경기대학교 컴퓨터과학과)
Kwon, Joon Hee (경기대학교 컴퓨터과학과)
Publication Information
Journal of Korea Society of Digital Industry and Information Management / v.8, no.3, 2012 , pp. 1-10 More about this Journal
Abstract
Recently, Social Network services(SNS) is gaining popularity as Facebook and Twitter. Popularity of SNS leads to active service and social data is to be increased. Thus, social search is remarkable that provide more meaningful information to users. but previous studies using social network structure, network distance is calculated using only familiarity. It is familiar as distance on network, has been demonstrated through several experiments. If taking advantage of social context data that users are using SNS to produce, then familiarity will be helpful to evaluate further. In this paper, reflect user's attention through comments and tags, Facebook context is determined using familiarity between friends in SNS. Facebook context is advantageous finding a friend who has a similar propensity users in context of profiles and interests. As a result, we provide a blog post that interest with a close friend. We also assist in the retrieval facilities using Near Field Communication(NFC) technology. By the experiment, we show the proposed soicial search method is more effective than only tag.
Keywords
SNS; Social Search; Social Context; Facebook;
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